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Job Description

The Industrial Engineering Analytics Engineer will join Excelon Solutions in Pittsburgh, onsite, focusing on building integrated IE models and analytical solutions to optimize capacity, labor, PFEP, and cost for factory planning and operations. The position offers an hourly rate of USD 50 to 100, and candidates are expected to have at least 7 years of experience in related analytics.

Responsibilities

  • Develop integrated industrial engineering models that connect capacity, labor, material flow, PFEP, and cost of goods sold to support factory planning and operations
  • Apply advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization
  • Construct capacity models comparing target, forecast, and gated capacity, incorporating cycle time, OEE, yield losses, and bottleneck analysis
  • Develop labor models to optimize headcount, utilization, and labor cost across production systems
  • Create and evaluate business cases for capital investments, including ROI, IRR, NPV, and cost benefit analysis
  • Model COGS components, including labor, overhead, scrap, and process-driven cost elements
  • Design OEE models addressing availability, performance, and quality to drive operational efficiency and continuous improvement
  • Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies
  • Design scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analytics
  • Utilize modeling tools such as FlexSim, Anylogic, and Simio
  • Employ data analysis tools including advanced Excel modeling, Python, SQL, and Power BI/Tableau

Requirements

  • 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
  • Proficiency with FlexSim, Anylogic, and Simio
  • Experience with data analysis tools including advanced Excel modeling, Python, SQL, and Power BI/Tableau

Technologies

  • FlexSim
  • Anylogic
  • Simio
  • Excel
  • Python
  • SQL
  • Power BI
  • Tableau

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